A Concise Review on Identifying Obesity Early: Leveraging AI and ML Targeted Advantage

Abstract

The pervasive nature of obesity has escalated into a global epidemic, posing a significant threat that could overwhelm healthcare systems, economies, and societal well-being. Given its strong association with debilitating chronic conditions, such as cardiovascular disease, there's an urgent need for more effective strategies to predict, prevent, and manage this complex health challenge. This review aims to explore how Artificial Intelligence (AI) and Machine Learning (ML) can be leveraged as powerful tools to enhance the early identification, proactive prevention, and improved management of obesity. Our objective is to highlight AI's potential in developing more precise and effective measures to combat this worldwide health crisis. The present review study explores the possibility of applying AI and ML in the care and prevention of pediatric obesity. The study discussed diversity of obesity causes citing genetic susceptibility, environmental driving and lifestyle preferences and emphasize the drawbacks of the customary methods of detection and treatment. The study review AI and ML models that have been used to predict the occurrence of obesity with emphasis on when the children will be very early to prevent obesity health effects. The study also reviews the implementation of AI-based trends in obesity care and compare its usage between healthcare specialists and patients. In addition, clinical practice, AI combines information in electronic health records, wearables, and health-tracking app to make person-centered treatment and evidence-based decisions possible. Furthermore, to patients, AI-based services provide them with individual coaching, motivation and long-term behavioral change due to constant monitoring and feedback. Lastly important issues such as data privacy, healthcare disparities, and social determinants of health that affect the effective implementation of AI to treat obesity, and provide suggestions on the potential research and policies to improve equity in the future.